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arXiv · 2306.09256

A Survey of Some Density Based Clustering Techniques

Rupanka Bhuyan·Samarjeet Borah
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Abstract

Density Based Clustering are a type of Clustering methods using in data mining for extracting previously unknown patterns from data sets. There are a number of density based clustering methods such as DBSCAN, OPTICS, DENCLUE, VDBSCAN, DVBSCAN, DBCLASD and ST-DBSCAN. In this paper, a study of these methods is done along with their characteristics, advantages and disadvantages and most importantly, their applicability to different types of data sets to mine useful and appropriate patterns.

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Rupanka Bhuyan, Samarjeet Borah. 2023-06-15. A Survey of Some Density Based Clustering Techniques. https://doi.org/10.13140/2.1.4554.6887

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